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Vehicle exhaust emissions in the light of modern research tools: synergy of chassis dynamometers and computational models
1
Environment Protection Centre, Motor Transport Institute, Poland
2
Faculty of Management, Lublin University of Technology, Poland
3
Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Poland
4
Environment Protection Centre, Motor Transport Institute, Poland, Poland
5
Motor Transport Institute, Poland
6
Department of Production Management, Faculty of Engineering Management, Bialystok University of Technology, Poland
Submission date: 2024-11-30
Final revision date: 2025-01-29
Acceptance date: 2025-02-10
Online publication date: 2025-02-28
Corresponding author
Magdalena Zimakowska-Laskowska
Environment Protection Centre, Motor Transport Institute, Jagiellońska 80, 03-301, Warszawa, Poland
Environment Protection Centre, Motor Transport Institute, Jagiellońska 80, 03-301, Warszawa, Poland
KEYWORDS
combustion enginepollutant emissionpollutant emission characteristicsdriving testMarkov and semi-Markov process
TOPICS
ABSTRACT
Assessing vehicle emissions is crucial for understanding their environmental impact and developing effective emission reduction strategies. This article discusses modern research tools that combine traditional laboratory measurements on chassis dynamometers with advanced theoretical models. Probabilistic methods, including stochastic processes based on Markov and semi-Markov chains, are important tools for modelling driving cycles, considering the variability of road conditions and driver behaviour. The article also presents mathematical approaches to emission data analysis, considering both the states of the technical system and the transitions between them, which allows for precise modelling of real vehicle operating conditions. Ultimately, the synergy of experimental measurements with computational modelling offers a more complete and accurate tool for assessing pollutant emissions, which is crucial in global efforts to improve air quality.
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